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» Recognition of Parametrised Models from 3D Data
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ISBI
2008
IEEE
16 years 2 months ago
Deconvolution of 3D fluorescence micrographs with automatic risk minimization
We investigate the problem of automatic tuning of a deconvolution algorithm for three-dimensional (3D) fluorescence microscopy; specifically, the selection of the regularization p...
Sathish Ramani, Cédric Vonesch, Michael Uns...
BIBE
2004
IEEE
149views Bioinformatics» more  BIBE 2004»
15 years 5 months ago
Interactive 3D Protein Structure Visualization Using Virtual Reality
Large-scale biomedical data sets of macromolecular structures such as DNA and proteins describe highly complex biomolecular entities which often consist of thousands of atoms and ...
Elke Moritz, Jörg Meyer
ICCV
2007
IEEE
16 years 3 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
ECCV
2004
Springer
16 years 3 months ago
Line Geometry for 3D Shape Understanding and Reconstruction
We understand and reconstruct special surfaces from 3D data with line geometry methods. Based on estimated surface normals we use approximation techniques in line space to recogniz...
Helmut Pottmann, Michael Hofer, Boris Odehnal, Joh...
MICCAI
2005
Springer
16 years 2 months ago
3D Curve Inference for Diffusion MRI Regularization
Abstract. We develop a differential geometric framework for regularizing diffusion MRI data. The key idea is to model white matter fibers as 3D space curves and to then extend Pare...
Peter Savadjiev, Jennifer S. W. Campbell, G. Bruce...